The word "subsamples" is spelled /sʌbˈsæmpəlz/. The first syllable is pronounced with a short "u" sound, followed by the stressed syllable with a short "a" sound. The "b" and "s" sounds are pronounced separately, followed by the "a" sound again. The final syllable is pronounced with a soft "p" sound, followed by a "z" sound indicating plurality. This word is commonly used in statistics and refers to a smaller sample taken from a larger population for study.
Subsamples are smaller representative samples that are taken from a larger population or sample set. In statistical sampling methods, subsamples are used to gather data when it is not feasible or efficient to collect information from the entire population. This technique allows researchers to perform analyses and draw conclusions about the entire population based on information obtained from these smaller subsets.
Subsampling is commonly employed in various fields, such as market research, social sciences, ecology, and manufacturing, where gathering data from an entire population is time-consuming or impractical. By selecting subsamples, researchers aim to capture the essential characteristics of the larger population accurately. The selection of subsamples typically follows random or systematic methods to ensure representativeness.
The use of subsamples can lead to cost and time savings, making studies more feasible for researchers. However, the accuracy of the conclusions drawn from subsamples depends on the appropriate selection of these subsets and the adherence to statistical principles. Researchers must exercise caution while generalizing findings from subsamples to the entire population, as there is a possibility of sampling error or bias.
In summary, subsamples are smaller representative subsets taken from a larger population or sample set, allowing researchers to gather data more efficiently and draw conclusions about the entire population. Proper selection and analysis of subsamples are crucial for obtaining valid and reliable results.
The word "subsamples" is derived from the word "subsample", which combines the prefix "sub-" meaning "under" or "below" and the noun "sample", referring to a small part or representative portion of a larger whole. The term "subsample" is commonly used in research, particularly in statistics and data analysis, to denote a smaller set of observations or data points taken from a larger population or dataset. The plural form "subsamples" simply indicates multiple of these smaller subsets.